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From: Giuseppe Broccolo <giuseppe.broccolo@2ndquadrant.it>
To: pgsql-performance@postgresql.org
Subject: Re: Distributed transactions and asynchronous commit
Date: Wed, 17 Jul 2013 13:16:06 +0200
Message-ID: <51E67CF6.1010409@2ndquadrant.it> (raw)
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Il 17/07/2013 12:52, Xenofon Papadopoulos ha scritto:
> Thank you for your replies so far.
> The DB in question is Postgres+ 9.2 running inside a VM with the 
> following specs:
>
> 16 CPUs (dedicated to the VM)
> 60G RAM
> RAID-10 storage on a SAN for pgdata and pgarchieves, using different 
> LUNs for each.
>
> We have 3 kind of queries:
>
> - The vast majority of the queries are small SELECT/INSERT/UPDATEs 
> which are part of distributed transactions
> - A few small ones, which are mostly SELECTs
> - A few bulk loads, where we add 100k - 1M of rows in tables
>
> Our settings are:
>
> shared_buffers: 8G
> work_mem: 12M
> checkpoint_segments: 64
>

shared_buffers could be set up to 20-30% of the available RAM: in your 
case, 16GB could be a reasonable value.

> Autovacuum is somewhat aggressive, as our data changes quite often and 
> without it the planner was completely off.
> Right now we use:
>
>  autovacuum_analyze_scale_factor: 0.1
>  autovacuum_analyze_threshold: 50
> autovacuum_freeze_max_age: 200000000
>  autovacuum_max_workers: 12
>  autovacuum_naptime: 10s
>  autovacuum_vacuum_cost_delay: 20ms
>  autovacuum_vacuum_cost_limit: -1
>  autovacuum_vacuum_scale_factor: 0.2
>  autovacuum_vacuum_threshold: 50

This means that auto vacuum will be triggered after around 50 updates 
aech time, if your database is doing a lot of updates/inserts (as I 
understood) an unnecessary amount of vacuum statements can be reached, 
which will generate a lot of IO. If the inserts/updates are small, this 
value could be decreased.

Giuseppe.

>
> At high-peak hour, the disk utilization for the pgdata mountpoint is:
>
> *00:00:01          DEV       tps  rd_sec/s  wr_sec/s  avgrq-sz 
>  avgqu-sz     await     svctm     %util*
> 13:20:01     dev253-2   7711.62  24166.97  56657.95 10.48    735.28   
>   95.09      0.11     86.11
> 13:30:01     dev253-2   5340.88  19465.30  39133.32 10.97    319.20   
>   59.94      0.15     82.30
> 13:40:01     dev253-2   2791.02  13061.76  19330.40 11.61    349.95   
>  125.38      0.33     90.73
> 13:50:01     dev253-2   3478.69  10503.84  25505.27 10.35    308.12   
>   88.57      0.20     68.12
> 14:00:01     dev253-2   5269.12  33613.43  35830.13 13.18    232.48   
>   44.09      0.19    100.05
> 14:10:01     dev253-2   4910.24  21767.22  33970.96 11.35    322.52   
>   65.64      0.21    104.55
> 14:20:02     dev253-2   5358.95  40772.03  33682.46 13.89    721.81   
>  134.32      0.20    104.92
> 14:30:01     dev253-2   4420.51  17256.16  33315.27 11.44    336.53   
>   76.13      0.15     65.25
> 14:40:02     dev253-2   4884.13  28439.26  31604.76 12.29    265.32   
>   54.26      0.20     97.51
> 14:50:01     dev253-2   3124.91   8077.46  22511.59  9.79     50.41   
>   16.13      0.24     76.17
>
> and for pgarchives:
>
> *00:00:01          DEV       tps  rd_sec/s  wr_sec/s  avgrq-sz 
>  avgqu-sz     await     svctm     %util*
> 13:20:01     dev253-3   2802.25      0.69  22417.32  8.00    465.05   
>  165.94      0.02      4.32
> 13:30:01     dev253-3   1559.87  11159.45  12120.99 14.92     64.17   
>   41.11      0.08     12.02
> 13:40:01     dev253-3    922.62   8066.62   7129.15 16.47     19.75   
>   21.40      0.08      6.99
> 13:50:01     dev253-3   1194.81    895.34   9524.53  8.72     28.40   
>   23.76      0.01      1.69
> 14:00:01     dev253-3   1919.12      0.46  15352.49  8.00     51.75   
>   26.95      0.01      1.61
> 14:10:01     dev253-3   1770.59   9286.61  13873.79 13.08    139.86   
>   78.97      0.08     14.46
> 14:20:02     dev253-3   1595.04  11810.63  12389.08 15.17    109.17   
>   68.42      0.15     24.71
> 14:30:01     dev253-3   1793.71  12173.88  13957.79 14.57    141.56   
>   78.89      0.08     13.61
> 14:40:02     dev253-3   1751.62      0.43  14012.53  8.00     43.38   
>   24.76      0.01      1.40
> 14:50:01     dev253-3   1351.72   3225.19  10707.29 10.31     31.91   
>   23.59      0.02      2.93
>
>
>
>
> On Wed, Jul 17, 2013 at 1:09 PM, Giuseppe Broccolo 
> <giuseppe.broccolo@2ndquadrant.it 
> <mailto:giuseppe.broccolo@2ndquadrant.it>> wrote:
>
>     Hi,
>
>     Il 17/07/2013 09:18, Xenofon Papadopoulos ha scritto:
>>     In the asynchronous commit documentation, it says:
>>
>>     /The commands supporting two-phase commit, such as PREPARE
>>     TRANSACTION, are also always synchronous
>>     /
>>
>>     Does this mean that all queries that are part of a distributed
>>     transaction are synchronous?
>>
>>     In our databases we have extremely high disk I/O, I'm wondering
>>     if distributed transactions may be the reason behind it.
>
>     Distributed transactions are base on two-phase-commit (2PC)
>     algorithms for ensuring correct transaction completion,  so are
>     synchronous.
>     However, I think this is not the main reason behind your extremely
>     high disk I/O. You should check if your system is properly tuned
>     to get the best performances.
>     First of all, you could take a look on your PostgreSQL
>     configurations, and check if shared_memory is set properly taking
>     into account your RAM availability. The conservative PostgreSQL
>     default value is 24 MB, forcing system to exploit many disk I/O
>     resources.
>     Aside from this, you could take a look if autovacuum is often
>     triggered (generating a large amount of I/O) in case of large use
>     of updates/inserts in your database.
>
>     Regards,
>
>     Giuseppe.
>
>     -- 
>     Giuseppe Broccolo - 2ndQuadrant Italy
>     PostgreSQL Training, Services and Support
>     giuseppe.broccolo@2ndQuadrant.it  <mailto:giuseppe.broccolo@2ndQuadrant.it>  |www.2ndQuadrant.it  <http://www.2ndQuadrant.it;
>
>


-- 
Giuseppe Broccolo - 2ndQuadrant Italy
PostgreSQL Training, Services and Support
giuseppe.broccolo@2ndQuadrant.it | www.2ndQuadrant.it

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